ed: Empirical determinacy

In hunansona/ed4bhm: Empirical Determinacy for Bayesian Hierarchical Models

Empirical determinacy

Description

A vector of empirical determinacy values for all the parameters in the model for the given distance measure

Usage

ed(descriptive.matrix.ls, distance = "H2ALL")

Arguments

descriptive.matrix.ls	a list, that contains descriptive matrix and delta, where the descriptive matrix must have the following six columns with names ("mean_plus", "sd_plus", "mean_base", "sd_base", "mean_minus", "sd_minus") and δ represents the numerical differentiation step
distance	character string, specifies the type of the empirical determinacy measure. It can have values "H2" for TED, "BCL" for EDL and "BCS" for EDS and "H2ALL" for all the five measures (TED, EDL, EDS, pEDL and pEDS). The default value is "H2ALL".

Value

a numeric vector of empirical determinacy values for the parameters in the model for the given distance measure.

See Also

extract_descriptives_mbp_inla, extract_descriptives_mbp_jags

hunansona/ed4bhm documentation built on June 15, 2022, 6:42 p.m.